Properties of Aggregation Operators Relevant for Ethical Decision Making in Artificial Intelligence

Federico Fioravanti, Iyad Rahwan and Fernando Tohmé
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Federico Fioravanti: Universidad Nacional del Sur/CONICET
Iyad Rahwan: Max Planck Institute for Human Development

No 177, Working Papers from Red Nacional de Investigadores en Economía (RedNIE)

Abstract: We present an axiomatic study of aggregation operators that could be applied to ethical AI decision making. The information is given here by different preferences over the decisions to be made by automated systems. We consider two different but very intuitive notions of preference of an alternative over another one, namely pairwise majority and position dominance. Preferences are represented by permutation processes over alternatives and aggregation rules are applied to obtain results that are socially considered to be ethically correct. We address the problem of the stability of the aggregation process, which is important when the information is variable. In this setting we find many aggregation rules that satisfy desirable properties for an autonomous system.

Keywords: Aggregation Operators; Permutation Process; Decision Analysis (search for similar items in EconPapers)
Pages: 25 pages
Date: 2022-09
New Economics Papers: this item is included in nep-big
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Persistent link: https://EconPapers.repec.org/RePEc:aoz:wpaper:177

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